Ignore:
Timestamp:
Sep 22, 2006, 12:19:04 PM (15 years ago)
Author:
Peter
Message:

finishing cleaning

File:
1 edited

Legend:

Unmodified
Added
Removed
  • trunk/c++_tools/classifier/MatrixLookup.h

    r656 r657  
    190190   
    191191    ///
    192     /// The created MatrixLookup corresponds the columns defines by @a
    193     /// samples and the rows defined by @a samples in the original
    194     /// MatrixLookup. The created MatrixLookup will fullfill: \f$
    195     /// novel_ml(i,j)=original(samp[i],feat[j]) \f$.
    196     ///
    197     /// @return pointer to sub-Lookup of the MatrixLookup
    198     ///
    199     /// @note If underlying matrix goes out of scope or is deleted, the
    200     /// returned pointer becomes invalid and the result of further use is
    201     /// undefined.
    202     ///
    203     /**
    204     const MatrixLookup* training_data(const std::vector<size_t>& features,
    205                                       const std::vector<size_t>& samples) const;
    206     */
    207     ///
    208192    /// The created MatrixLookup corresponds to all rows and the
    209193    /// columns defined by @a index in the original MatrixLookup. The
     
    219203    const MatrixLookup* validation_data(const std::vector<size_t>&,
    220204                                        const std::vector<size_t>&) const;
    221     ///
    222     /// The created MatrixLookup corresponds to rows defined by @a features and
    223     /// columns defined by @a val in the original MatrixLookup. The
    224     /// created MatrixLookup will fullfill:
    225     /// \f$ novel_ml(i,j)=original(features[i],val[j]) \f$.
    226     ///
    227     /// @return pointer to sub-Lookup of the MatrixLookup
    228     ///
    229     /// @note If underlying matrix goes out of scope or is deleted, the
    230     /// returned pointer becomes invalid and the result of further use is
    231     /// undefined.
    232     ///
    233     /**
    234     const MatrixLookup* validation_data(const std::vector<size_t>& features,
    235                                         const std::vector<size_t>& train,
    236                                         const std::vector<size_t>& val) const;
    237     */
    238205    ///
    239206    /// @return false
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